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Song, H. (2004). The F-Table: A Data Structure for Rendering Photo-Accurate Images of Faces from Experimentally Acquired Reflectance. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-1637
My thesis is that a realistic image of a human face can be generated using a computational simulation of light transport. I demonstrate this thesis by acquiring the three-dimensional geometry of a face, measuring the reflectance function from the face, and generating a graphical image that accurately matches a photograph of the face. I also show that the faithful simulation of the physics of light transport is important for synthesizing a realistic image of the face. One important consequence of this work is that it can be used in the future to recognize a face based on a photograph. By rendering realistic images of geometric meshes of faces using accurate re ectance functions and faithful physics, photo-realistic images can be compared pixel by pixel to digitized photographs to search for the closest match between a face in a geometric database and a face in a photograph.
Photo-Accurate, Photo-Realistic, Exprimental, Recognition, Face, F-Table, Reflectance, Measure, Global Illumination
Date of Defense
July 3, 2004.
Submitted Note
A Dissertation Submitted to the Department of Computer Science in Partial Fulfillment of the Requirements for the Degree of Master of Science.
Bibliography Note
Includes bibliographical references.
Publisher
Florida State University
Identifier
FSU_migr_etd-1637
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Song, H. (2004). The F-Table: A Data Structure for Rendering Photo-Accurate Images of Faces from Experimentally Acquired Reflectance. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-1637